Principal Deep Learning Data Scientist

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: This role will be part of the team of Data Scientists that are designing the next generation of ML and AI into the Enterprise Data Center GPU space. THE PERSON: We are looking for deep learning data scientists with proven record implementing models and AI solutions around computer vision, language models and/or reinforcement or recommender models. If you have experience in at least 2 of the 4, we are looking for you.... KEY RESPONSIBILITIES: Understanding and prototyping customer AI workloads and working with optimization team on accelerating models for AMD infrastructure. Delivering AI solutions in line with product roadmap on time with high quality. Involved in cross function team interaction and engagement with various key players and stakeholders in the organization. Play a role in all the phases of software & model development, from requirement gathering, analysis, design, development, testing and final release to customers. Provide clear and timely communication related to status and other key aspects of the project to leadership team. Responsible for working with customers and internal support teams for resolving critical customer escalations on a need basis. Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products. Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax (FLAN)) PREFERRED EXPERIENCE: Deep experience with AI/ML frameworks like Pytorch, Tensor flow, JAX, etc. is required. Knowledge of Acceleration platforms like GPU, TPU, APU is required. ACADEMIC CREDENTIALS: BS, MS, or PhD with several years of related experience in Computer Engineering or Electrical Engineering or Computer Science or related equivalent from top universities. LOCATION: Santa Clara, CA

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